Data Scientist

Caris Life Sciences • Papago, AZ

1d

About The Position

At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives. We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do. But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose. Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins. Position Summary Caris Life Sciences is seeking a data scientist to join the Research & Development/Precision Medicine group to assist in identification, quantification, and qualification of novel cancer related targets in conjunction with external clients. This research and development role will involve developing and maintaining high quality computational pipelines/processes ranging from data retrieval and organization to producing quantitative statistical insights based on our in-house clinical/genomic data and wet-lab techniques. A successful candidate will require a sharp, driven, goal-oriented individual having an analytical, algorithm-oriented mindset to create reproducible data pipelines and analysis tools, as well as the communication skills to discuss the implications of the scientific results with our research team and leadership.

Requirements

• PhD in Mathematics, Data Science, Computational Biology, Bioinformatics, Engineering, or related scientific field.
• 0-5 years of experience in Data Science or related technical field with particular experience programmatically working with large, structured and unstructured data sets.
• Ability to understand biological/pathological questions and formulate statistical and data analysis methods to provide solutions to novel problems.
• Proficiency in at least one general-purpose programming language (Python, R, Java, C/C++). Python is preferred.
• Familiarity with the Linux/Unix environment.
• Experience with common Python libraries such as Pandas, Numpy, Matplotlib, etc.
• Ability to communicate quantifiable results through tables, figures, and plots.
• Proficiency in verbal and written communication skills to clearly explain complex technical details.
• Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of internet for business use.

Nice To Haves

• Experience with clinical health records (insurance claims and patient data).
• Experience with state-of-the-art machine learning and deep learning methods and frameworks.
• Familiarity with bioinformatics processes (NGS, WES, WTS, as well as specific file types and formatting bam, vcf, etc).
• Experience with shell scripting and script based procedural development.
• Familiarity with developing python-based applications/dashboards (streamlit, fastapi, plotly, etc.).
• Familiarity with Git and queries from SQL or related database families.
• Familiarity with AWS infrastructure.

Responsibilities

• Developing, implementing, validating, and maintaining custom algorithms, workflows, processes, and pipelines with the intent to provide support across a team of researchers to achieve the specific goals of assigned projects.
• Developing and validating analytical and visualization tools supporting Target Discovery and Research & Development.
• Supporting statistical methodologies for the design and development of quality control process for diagnostic assays and products.
• Efficiently manipulating and processing large, multisource data sets.
• Responding to and managing ad hoc requests ensuring that accurate, in-depth results/data are delivered in a timely manner.
• Reviewing clinical study reports for statistical content and accuracy.
• Providing general informatics support for laboratory research, technology development, and clinical studies.
• Adhering to coding and documentation standards as well as managing deliverables in the areas of responsibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree